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CNVD-2018-07571

Vulnerability from cnvd - Published: 2018-04-12
VLAI
Title
Zsh本地堆栈缓冲区溢出漏洞
Description
Zsh是一个使用在Linux系统中的交互式命令解释器和命令编程语言。 Zsh 5.4.2-test-1之前版本中的shell autocomplete功能存在安全漏洞。本地攻击者可通过创建特制的目录路径利用该漏洞执行代码,也可能提升权限。
Severity
Patch Name
Zsh本地堆栈缓冲区溢出漏洞的补丁
Patch Description
Zsh是一个使用在Linux系统中的交互式命令解释器和命令编程语言。 Zsh 5.4.2-test-1之前版本中的shell autocomplete功能存在安全漏洞。本地攻击者可通过创建特制的目录路径利用该漏洞执行代码,也可能提升权限。目前,供应商发布了安全公告及相关补丁信息,修复了此漏洞。
Formal description

目前厂商已发布升级补丁以修复漏洞,补丁获取链接: https://sourceforge.net/p/zsh/code/ci/259ac472eac291c8c103c7a0d8a4eaf3c2942ed7

Reference
https://bugzilla.redhat.com/show_bug.cgi?id=1557382 https://www.securityfocus.com/bid/103572
Impacted products
Name
Zsh Zsh <5.4.2-test-1
Show details on source website

{
  "bids": {
    "bid": {
      "bidNumber": "103572"
    }
  },
  "cves": {
    "cve": {
      "cveNumber": "CVE-2018-1083"
    }
  },
  "description": "Zsh\u662f\u4e00\u4e2a\u4f7f\u7528\u5728Linux\u7cfb\u7edf\u4e2d\u7684\u4ea4\u4e92\u5f0f\u547d\u4ee4\u89e3\u91ca\u5668\u548c\u547d\u4ee4\u7f16\u7a0b\u8bed\u8a00\u3002\r\n\r\nZsh 5.4.2-test-1\u4e4b\u524d\u7248\u672c\u4e2d\u7684shell autocomplete\u529f\u80fd\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\u3002\u672c\u5730\u653b\u51fb\u8005\u53ef\u901a\u8fc7\u521b\u5efa\u7279\u5236\u7684\u76ee\u5f55\u8def\u5f84\u5229\u7528\u8be5\u6f0f\u6d1e\u6267\u884c\u4ee3\u7801\uff0c\u4e5f\u53ef\u80fd\u63d0\u5347\u6743\u9650\u3002",
  "discovererName": "Zsh",
  "formalWay": "\u76ee\u524d\u5382\u5546\u5df2\u53d1\u5e03\u5347\u7ea7\u8865\u4e01\u4ee5\u4fee\u590d\u6f0f\u6d1e\uff0c\u8865\u4e01\u83b7\u53d6\u94fe\u63a5\uff1a\r\nhttps://sourceforge.net/p/zsh/code/ci/259ac472eac291c8c103c7a0d8a4eaf3c2942ed7",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2018-07571",
  "openTime": "2018-04-12",
  "patchDescription": "Zsh\u662f\u4e00\u4e2a\u4f7f\u7528\u5728Linux\u7cfb\u7edf\u4e2d\u7684\u4ea4\u4e92\u5f0f\u547d\u4ee4\u89e3\u91ca\u5668\u548c\u547d\u4ee4\u7f16\u7a0b\u8bed\u8a00\u3002\r\n\r\nZsh 5.4.2-test-1\u4e4b\u524d\u7248\u672c\u4e2d\u7684shell autocomplete\u529f\u80fd\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\u3002\u672c\u5730\u653b\u51fb\u8005\u53ef\u901a\u8fc7\u521b\u5efa\u7279\u5236\u7684\u76ee\u5f55\u8def\u5f84\u5229\u7528\u8be5\u6f0f\u6d1e\u6267\u884c\u4ee3\u7801\uff0c\u4e5f\u53ef\u80fd\u63d0\u5347\u6743\u9650\u3002\u76ee\u524d\uff0c\u4f9b\u5e94\u5546\u53d1\u5e03\u4e86\u5b89\u5168\u516c\u544a\u53ca\u76f8\u5173\u8865\u4e01\u4fe1\u606f\uff0c\u4fee\u590d\u4e86\u6b64\u6f0f\u6d1e\u3002",
  "patchName": "Zsh\u672c\u5730\u5806\u6808\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "Zsh Zsh \u003c5.4.2-test-1"
  },
  "referenceLink": "https://bugzilla.redhat.com/show_bug.cgi?id=1557382\r\nhttps://www.securityfocus.com/bid/103572",
  "serverity": "\u4e2d",
  "submitTime": "2018-03-30",
  "title": "Zsh\u672c\u5730\u5806\u6808\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e"
}



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Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.

Sightings

Author Source Type Date Other

Nomenclature

  • Seen: The vulnerability was mentioned, discussed, or observed by the user.
  • Confirmed: The vulnerability has been validated from an analyst's perspective.
  • Published Proof of Concept: A public proof of concept is available for this vulnerability.
  • Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
  • Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
  • Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
  • Not confirmed: The user expressed doubt about the validity of the vulnerability.
  • Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.

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Detection rules are retrieved from Rulezet.

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Related by attack behaviour

Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.


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